An AI coding agent for any model.

France
Joined May 2026
Swival.dev retweeted
Perplexity Computer can now run fully local on your Mac. Work with your native Mac apps and local files, and run tasks without sending sensitive data to the cloud. The model and the agent both run on your Mac. Available now in the Perplexity Mac app.
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Swival.dev retweeted
🚀 Introducing DeepInfer, our in-house inference framework, now fully open source! Powering DeepSeek-V4.1-Flash at scale with high throughput and low latency. We’re sharing our production stack to help the community lower compute costs, reduce energy use, and make AI more affordable. 🔗 github.com/deepseek-ai/DeepI… 1/4
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Say hello to Rexie, our mascot for Rex! Superlogical public testing is beginning. We’re working through our mailing list in the order people signed up. Initial testing is limited to macOS but that’ll expand quickly. Welcome, new testers. superlogical.com/updates/pub…
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Swival.dev retweeted
Before you meet MiMo-V2.6, step into its world. Every 3D model, game, slides, video, music and image in MiMo Gallery was generated by MiMo-V2.6. Stay for the piano. Play a game. Catch the fireworks. A first look at what's coming: mimo.xiaomi.com/mimo-gallery…
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Swival.dev retweeted
Hi Astra users. A reset and a quick update on quality issues that have been posted around. Working with some of you, we have found and fixed the following issues: - Some skills written for previous models were triggering too often or preventing the model from checking its work. - An opt-in context management experiment that could cause early stops or replies to older messages. We've disabled it. Our rough estimate is that 4-5k users were affected by this experiment. - We've also removed some badly configured engines that resulted in a measured quality degradation for a long tail of traffic flowing through them. We’ve also made some more minor improvements and things should feel significantly better across the board. More consistent follow-through, better tracking of your latest message, and better checks on the work as it’s going through the motions. The examples posted and all the users who worked directly with us were incredibly useful in helping fix things quickly. Always grateful for this incredible community. And of course, a reset is also landing by midnight today.
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Swival.dev retweeted
A year ago the question was which model. Now it's which harness. Pi, Exo, Claude Code, Codex, DeepSeek Harness and 4 others. Same model, same tasks, same runtime. 360 runs, 2 billion tokens. Pass rates: 50% to 67%. Cost per pass: $1.05 to $18.34. Introducing FrontierHarness Eval. 🧵
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An academic survey on developer trust in AI-generated dependencies . Please fill it out, even if only for educational purposes. vuamsterdam.eu.qualtrics.com…
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Wan 3 just released Video 1 is Google Omni. ($1.25) Video 2 is Seedance 2.5. ($4.62) Video 3 is Wan 3 ($1.00) Look at the comparison 👇
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Swival.dev retweeted
Anthropic's text watermarking is literally just stealing all of human knowledge and packaging it as their own. Most of you still don't realize how serious this is.
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I’m wondering whether watermark removal should be built into the harness.
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We can finally talk about it: We found a way to extract hidden reasoning of frontier models using a vulnerability in the APIs of every frontier AI company. We verified that our reasoning token count matches billed API thinking tokens 1:1 for most of the prompts we queried.
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